
MAID based Real-time Geolocation data | 31 geos | Mobile attribution data | App session data
userid
|
bundleid
|
appname
|
time_stamp
|
useragent
|
os
|
make
|
model
|
language
|
carrier
|
ip
|
country_data
|
city
|
zipcode
|
lat
|
lon
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx |
Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
userid
|
String | 6a502ac0-cfbd-4dce-ab99-a77879918c1e | |
bundleid
|
String | happy.paint.coloring.color.number | |
appname
|
String | Color Flow | |
time_stamp
|
Timestamp | 1750000000000.0 | |
useragent
|
String | Mozilla/5.0 (Linux; Android 13; 2201117TY Build/TKQ1.2211... | |
os
|
String | Android | |
make
|
String | Redmi | |
model
|
String | 2201117TY | |
language
|
String | Spanish | |
carrier
|
String | Mas Orange | |
ip
|
String | ||
country_data
|
String | IDN | |
city
|
String | ||
zipcode
|
String | 58164 | |
lat
|
Float | -7.27171 | |
lon
|
Float | 110.47801 |
Description
Country Coverage
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data?
MAID based lat/long data for daily and accurate geolocation use cases for 31 markets.
What is MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data used for?
This product has 5 key use cases. Kindred recommends using the data for Location-based Advertising, Digital Out-of-home (DOOH) Advertising, Digital Advertising, Mobile App Analytics, and Gaming. Global businesses and organizations buy Location Data from Kindred to fuel their analytics and enrichment.
Who can use MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Kindred to see what their data can do for your business and find out which integrations they provide.
Which countries does MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data cover?
This product includes data covering 31 countries like USA, Japan, Germany, India, and UK. Kindred is headquartered in Singapore.
How much does MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data cost?
Pricing information for MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data is available by getting in contact with Kindred. Connect with Kindred to get a quote and arrange custom pricing models based on your data requirements.
How can I get MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data?
Businesses can buy Location Data from Kindred and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Kindred can deliver this product in .csv format.
What is the data quality of MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data?
Kindred has reported that this product has the following quality and accuracy assurances: 80% match rate. You can compare and assess the data quality of Kindred using Datarade’s data marketplace.
What are similar products to MAID based Real-time Geolocation data 31 geos Mobile attribution data App session data?
This product has 3 related products. These alternatives include Location Data Global Real-Time Geolocation API with Polygon Query, Mobile Location Data GLOBAL GPS Mobility Data Reliable, Compliant, Precise Location Data Footfall Data 200+ Countries / 1.8B Devices Monthly, and Factori Mobility Data Global Mobile Location, Carrier, IP address, Hex8, Hex9 Historical Location data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.